Data for Good Exchange

The Data for Good Exchange is part of a long Bloomberg tradition of advocacy for using data science and human capital to solve problems at the core of society. On Sunday September 25th 2016, we will reconvene to strengthen our community and further these aims. The overall theme for this year’s edition will be “better governance” or how data science can be applied to solve public interest problems.

The data revolution has enabled businesses to provide better service, at a lower cost, and to more customers, at a scale of change not seen since the industrial revolution. While the corporate sector has effectively engaged the academic community in their problems, public and non-profit sectors have seen comparatively less application of data science methods.

Since 2014, Bloomberg has been hosting this yearly conference on applications of data science to problems related to the social good. This forum has enabled participants from academia, industry, government and NGOs to share insights and progress on applying modern machine learning and data science methods to problems in public and non-profit sectors.

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People

Head of Data Science

Gideon Mann is the head of Data Science in the Office of the CTO at Bloomberg LP. At Bloomberg, he guides corporate strategy for machine learning, natural language processing (NLP) and information retrieval. He has over 30 publications and more than 20 patents in machine learning and NLP. He’s served as a founding member of both the Data for Good Exchange (D4GX), an annual conference on data science applications for social good, and the Shift Commission on Work, Workers and Technology. Before joining Bloomberg in 2014, he worked at Google Research NY, where his team carried out basic research, as well as developing machine learning products such as Colaboratory. He holds a Ph.D. from The Johns Hopkins University.